ceb_b128_le4_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
ceb_b128_le4_s4000

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microsoft/speecht5_tts

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ceb_b128_le4_s4000

This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3981

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4433	39.6040	500	0.4056
0.4142	79.2079	1000	0.3953
0.3972	118.8119	1500	0.3951
0.3806	158.4158	2000	0.3970
0.3653	198.0198	2500	0.3960
0.3566	237.6238	3000	0.4034
0.349	277.2277	3500	0.3991
0.3466	316.8317	4000	0.3981

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1